Comparison of error distributions in nonparametric regression

In this paper a procedure to test the equality of error distributions in several nonparametric regression models is introduced. Kolmogorov-Smirnov and Cramér-von Mises-type statistics are proposed and their asymptotic distributions are obtained. A bootstrap mechanism is used to approximate the critical values in practice.